Add strength input to Differential Diffusion

[EricBCoding]

Hi,

The Differential Diffusion node from #2876 is awesome for inpainting tasks, but the effect is too strong at times. It is challenging to use when generating a subject that has little in common with the original.

Even at a denoising strength of 100%, Differential Diffusion often overwhelms the prompt. But if we blend the adjusted binary mask with the original, we can find a sweet spot. The example below was performed with Euler/Beta, 4 steps, 100% denoising strength. Model is flux1-dev.sft with distillation LoRAs for speed.

50-75% Differential Diffusion strength feels a lot more usable in practice than 100%. Here's one more comparison if you'll indulge me:

The prompt was "Donald Trump." That guy in the middle looks like he'd be fun at parties, but he's definitely not Trump.

[ltdrdata]

Wouldn't it be better to skip the blending logic when the strength is set to 1.0?

[EricBCoding]

@ltdrdata The blend operation is nearly instantaneous either way (at least at 1024x1024), but you're right, a conditional check is probably smarter. 🙂 Updated the code.